IntegromeDB: an integrated system and biological search engine

Michael Baitaluk, Sergey Kozhenkov, Yulia Dubinina, Julia Ponomarenko
2012 BMC Genomics  
With the growth of biological data in volume and heterogeneity, web search engines become key tools for researchers. However, general-purpose search engines are not specialized for the search of biological data. Description: Here, we present an approach at developing a biological web search engine based on the Semantic Web technologies and demonstrate its implementation for retrieving gene-and protein-centered knowledge. The engine is available at Conclusions: The
more » ... egromeDB search engine allows scanning data on gene regulation, gene expression, proteinprotein interactions, pathways, metagenomics, mutations, diseases, and other gene-and protein-related data that are automatically retrieved from publicly available databases and web pages using biological ontologies. To perfect the resource design and usability, we welcome and encourage community feedback.
doi:10.1186/1471-2164-13-35 pmid:22260095 pmcid:PMC3293773 fatcat:wrjk3un4urf2vd3psw4xpvozoe